CWE-203 Detalhe

CWE-203

Observable Discrepancy
Incomplete
2006-07-19
00h00 +00:00
2026-04-30
00h00 +00:00
CWE Mitre.org
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Nome: Observable Discrepancy

The product behaves differently or sends different responses under different circumstances in a way that is observable to an unauthorized actor.

Informações Gerais

Detalhes de Contexto

Modos de Introdução

Architecture and Design
Implementation

Plataformas Aplicáveis

Linguagem

Class: Not Language-Specific (Undetermined)

Tecnologias

Class: Not Technology-Specific (Undetermined)

Consequências Comuns

Escopo Impacto Probabilidade
Confidentiality
Access Control		Read Application Data, Bypass Protection Mechanism

Note: An attacker can gain access to sensitive information about the system, including authentication information that may allow an attacker to gain access to the system. Other security-relevant information about the operation or internal state of the product may be revealed to an unauthorized actor, such as whether a particular operation was successful or not.
ConfidentialityRead Application Data

Note: In some cases, discrepancies can be used by attackers to form a side channel. When cryptographic primitives are vulnerable to side-channel attacks, this could be used to reveal unencrypted plaintext in the worst case.

Exemplos Observados

Referências Descrição

CVE-2020-8695

Observable discrepancy in the RAPL interface for some Intel processors allows information disclosure.

CVE-2019-14353

Crypto hardware wallet's power consumption relates to total number of pixels illuminated, creating a side channel in the USB connection that allows attackers to determine secrets displayed such as PIN numbers and passwords

CVE-2019-10071

Java-oriented framework compares HMAC signatures using String.equals() instead of a constant-time algorithm, causing timing discrepancies

CVE-2002-2094

This, and others, use ".." attacks and monitor error responses, so there is overlap with directory traversal.

CVE-2001-1483

Enumeration of valid usernames based on inconsistent responses

CVE-2001-1528

Account number enumeration via inconsistent responses.

CVE-2004-2150

User enumeration via discrepancies in error messages.

CVE-2005-1650

User enumeration via discrepancies in error messages.

CVE-2004-0294

Bulletin Board displays different error messages when a user exists or not, which makes it easier for remote attackers to identify valid users and conduct a brute force password guessing attack.

CVE-2004-0243

Operating System, when direct remote login is disabled, displays a different message if the password is correct, which allows remote attackers to guess the password via brute force methods.

CVE-2002-0514

Product allows remote attackers to determine if a port is being filtered because the response packet TTL is different than the default TTL.

CVE-2002-0515

Product sets a different TTL when a port is being filtered than when it is not being filtered, which allows remote attackers to identify filtered ports by comparing TTLs.

CVE-2002-0208

Product modifies TCP/IP stack and ICMP error messages in unusual ways that show the product is in use.

CVE-2004-2252

Behavioral infoleak by responding to SYN-FIN packets.

CVE-2001-1387

Product may generate different responses than specified by the administrator, possibly leading to an information leak.

CVE-2004-0778

Version control system allows remote attackers to determine the existence of arbitrary files and directories via the -X command for an alternate history file, which causes different error messages to be returned.

CVE-2004-1428

FTP server generates an error message if the user name does not exist instead of prompting for a password, which allows remote attackers to determine valid usernames.

CVE-2003-0078

SSL implementation does not perform a MAC computation if an incorrect block cipher padding is used, which causes an information leak (timing discrepancy) that may make it easier to launch cryptographic attacks that rely on distinguishing between padding and MAC verification errors, possibly leading to extraction of the original plaintext, aka the "Vaudenay timing attack."

CVE-2000-1117

Virtual machine allows malicious web site operators to determine the existence of files on the client by measuring delays in the execution of the getSystemResource method.

CVE-2003-0637

Product uses a shorter timeout for a non-existent user than a valid user, which makes it easier for remote attackers to guess usernames and conduct brute force password guessing.

CVE-2003-0190

Product immediately sends an error message when a user does not exist, which allows remote attackers to determine valid usernames via a timing attack.

CVE-2004-1602

FTP server responds in a different amount of time when a given username exists, which allows remote attackers to identify valid usernames by timing the server response.

CVE-2005-0918

Browser allows remote attackers to determine the existence of arbitrary files by setting the src property to the target filename and using Javascript to determine if the web page immediately stops loading, which indicates whether the file exists or not.

Mitigações Potenciais

Phases : Architecture and Design
Phases : Implementation

Notas de Mapeamento de Vulnerabilidade

Justificativa : This CWE entry is at the Base level of abstraction, which is a preferred level of abstraction for mapping to the root causes of vulnerabilities.
Comentário : Carefully read both the name and description to ensure that this mapping is an appropriate fit. Do not try to 'force' a mapping to a lower-level Base/Variant simply to comply with this preferred level of abstraction.

Padrões de Ataque Relacionados

CAPEC-ID Nome do Padrão de Ataque
CAPEC-189 Black Box Reverse Engineering
An adversary discovers the structure, function, and composition of a type of computer software through black box analysis techniques. 'Black Box' methods involve interacting with the software indirectly, in the absence of direct access to the executable object. Such analysis typically involves interacting with the software at the boundaries of where the software interfaces with a larger execution environment, such as input-output vectors, libraries, or APIs. Black Box Reverse Engineering also refers to gathering physical side effects of a hardware device, such as electromagnetic radiation or sounds.

Submissão

Nome Organização Data Data de lançamento Version
PLOVER 2006-07-19 +00:00 2006-07-19 +00:00 Draft 3

Modificações

Nome Organização Data Comentário
Eric Dalci Cigital 2008-07-01 +00:00 updated Potential_Mitigations, Time_of_Introduction
CWE Content Team MITRE 2008-09-08 +00:00 updated Relationships, Taxonomy_Mappings
CWE Content Team MITRE 2009-12-28 +00:00 updated Description, Name
CWE Content Team MITRE 2011-06-01 +00:00 updated Common_Consequences
CWE Content Team MITRE 2012-05-11 +00:00 updated Common_Consequences, Demonstrative_Examples, Observed_Examples, Relationships
CWE Content Team MITRE 2012-10-30 +00:00 updated Potential_Mitigations
CWE Content Team MITRE 2014-07-30 +00:00 updated Relationships
CWE Content Team MITRE 2017-11-08 +00:00 updated Applicable_Platforms
CWE Content Team MITRE 2019-06-20 +00:00 updated Relationships, Type
CWE Content Team MITRE 2020-02-24 +00:00 updated Alternate_Terms, Applicable_Platforms, Common_Consequences, Demonstrative_Examples, Description, Name, Observed_Examples, Relationships
CWE Content Team MITRE 2020-08-20 +00:00 updated Alternate_Terms, Common_Consequences, Demonstrative_Examples, Description, Name, Potential_Mitigations, Related_Attack_Patterns, Relationships, Research_Gaps
CWE Content Team MITRE 2020-12-10 +00:00 updated Common_Consequences, Demonstrative_Examples, Description, Name, Potential_Mitigations, Research_Gaps
CWE Content Team MITRE 2021-07-20 +00:00 updated Demonstrative_Examples
CWE Content Team MITRE 2021-10-28 +00:00 updated Observed_Examples
CWE Content Team MITRE 2023-04-27 +00:00 updated Relationships
CWE Content Team MITRE 2023-06-29 +00:00 updated Mapping_Notes
CWE Content Team MITRE 2023-10-26 +00:00 updated Observed_Examples
CWE Content Team MITRE 2024-02-29 +00:00 updated Demonstrative_Examples
CWE Content Team MITRE 2025-04-03 +00:00 updated Demonstrative_Examples
CWE Content Team MITRE 2025-12-11 +00:00 updated Weakness_Ordinalities
CWE Content Team MITRE 2026-04-30 +00:00 updated Background_Details, Common_Consequences, Description, Diagram
As informações apresentadas no CVE Find originam-se de várias fontes de referência cuidadosamente selecionadas. Os dados CVE são fornecidos pela MITRE Corporation e pelo National Vulnerability Database (NVD). O catálogo de Vulnerabilidades Conhecidas Exploradas (KEV) é proveniente da Cybersecurity and Infrastructure Security Agency (CISA), enquanto as pontuações EPSS vêm do FIRST.org. Além disso, os dados sobre fraquezas de software (CWE) e padrões de ataque comuns (CAPEC) são mantidos pela MITRE Corporation, e as informações sobre configurações de hardware e software (CPE) são fornecidas pelo NVD.